On Nov. 2, the Falling Walls Foundation hosted an online panel titled “Falling Walls Circle Table: The Next Big Machine – Does CERN Need Another Supercollider?” A video of the hour-long panel discussion is now available online. Fermilab Director Nigel Lockyer was one of the panelists. The others were Zulfikar Abbany of Deutsche Welle, Ursula Bassler of the CERN Council, Jeremy Farrar of the Wellcome Trust and Beate Heinemann of DESY. With CERN’s Large Hadron Collider in full swing and…
From CERN Courier, Sept. 23, 2020: Fermilab scientist Panagiotis Spentzouris, head of the Fermilab Quantum Science Program, is one of several experts featured in this article on CERN alumni who have ventured into diverse careers in different fields.
From CERN Courier, Sept. 9, 2020: The first ICHEP meeting since the publication of the update of the European strategy for particle physics covered Higgs and neutrino physics, including results from the CMS collider experiment and the DUNE, NOvA and MicroBooNE neutrino experiments.
From Gizmodo, May 18, 2020: Neutrino physics is a trek into the unknown, one that the United States physics community has chosen to pursue full-on. A flagship experiment called LBNF/DUNE will lead the search, in pursuit of answers that may take decades or more to find. Fermilab Deputy Director for Research Joe Lykken, DUNE spokesperson Ed Blucher, and DUNE scientists Chang Kee Jung and Elizabeth Worcester talk about how neutrinos will enhance our understanding of the universe.
From Semiconductor Engineering, April 6, 2020: Fermilab, Brookhaven National Laboratory and Lawrence Berkeley National Laboratory have built an enormous superconducting magnet — one of 16 — that will be used in the High-Luminosity Large Hadron Collider particle accelerator project at CERN in Europe.
From Physics World, April 3, 2020: A collaboration that includes Fermilab scientists is exploring how quantum computing could be used to analyze the vast amount of data produced by experiments on the Large Hadron Collider at CERN. The researchers have shown that a “quantum support vector machine” can help physicists make sense out of the huge amounts of information generated at CERN.